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Abdominal Radiology

Erschienen in:

07.04.2022 | Hepatobiliary

Quantitative analysis of the risk of type 2 diabetes and fatty liver in non-obese individuals by computed tomography

verfasst von: Yi Tang, Ze-min Wei, Ning Li, Lin-lin Sun, Zheng-yu Jin, Zhe Wu, Hao Sun

Erschienen in: Abdominal Radiology | Ausgabe 6/2022

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Abstract

Purpose

To explore the risk of fatty liver and type 2 diabetes with quantitative parameters of abdominal computed tomography (CT) in a non-obese population.

Methods

A retrospective analysis of abdominal CT and hospitalization records of inpatients admitted from May 2019 to May 2021 were divided into a non-obese control group (n = 143 cases) and a non-obese diabetes group (n = 105 cases). The measured abdominal CT parameters included body width, liver and spleen CT values, and the ratio of the liver CT value to the spleen CT value (L/S ratio). Logistic regression was used to analyze the risk factors for diabetes in non-obese individuals.

Results

Three variables including body width (P < 0.001), liver CT value (P = 0.013), and L/S ratio (P = 0.002) were significantly correlated with the presence of diabetes in non-obese individuals.

Conclusion

Body width, liver CT value, and L/S ratio can be used to indicate the risk of type 2 diabetes in non-obese individuals.

Graphical abstract

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Titel: Quantitative analysis of the risk of type 2 diabetes and fatty liver in non-obese individuals by computed tomography
verfasst von: Yi Tang
Ze-min Wei
Ning Li
Lin-lin Sun
Zheng-yu Jin
Zhe Wu
Hao Sun
Publikationsdatum: 07.04.2022
Verlag: Springer US
Erschienen in: Abdominal Radiology / Ausgabe 6/2022
Print ISSN: 2366-004X
Elektronische ISSN: 2366-0058
DOI: https://doi.org/10.1007/s00261-022-03506-4

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Springer Medizin

Quantitative analysis of the risk of type 2 diabetes and fatty liver in non-obese individuals by computed tomography

Abstract

Purpose

Methods

Results

Conclusion

Graphical abstract

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Springer Medizin

Abstract

Purpose

Methods

Results

Conclusion

Graphical abstract

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